Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Kaiping Wei"'
Autor:
Xianchao Zhu, Xianjun Shen, Xingpeng Jiang, Kaiping Wei, Tingting He, Yuanyuan Ma, Jiaqi Liu, Xiaohua Hu
Publikováno v:
BMC Bioinformatics, Vol 19, Iss S20, Pp 37-48 (2018)
Abstract Background The traditional methods of visualizing high-dimensional data objects in low-dimensional metric spaces are subject to the basic limitations of metric space. These limitations result in multidimensional scaling that fails to faithfu
Externí odkaz:
https://doaj.org/article/14c0e46d88b94926b06f6df2b7f42430
Publikováno v:
Evolutionary Bioinformatics, Vol 16 (2020)
Microbial community is ubiquitous in nature, which has a great impact on the living environment and human health. All these effects of microbial communities on the environment and their hosts are often referred to as the functions of these communitie
Externí odkaz:
https://doaj.org/article/ed9658e5b9ea47f28c28aeb0b5d8ba74
Publikováno v:
Evolutionary Bioinformatics, Vol 16 (2020)
Evolutionary Bioinformatics
Evolutionary Bioinformatics
Microbial community is ubiquitous in nature, which has a great impact on the living environment and human health. All these effects of microbial communities on the environment and their hosts are often referred to as the functions of these communitie
Autor:
Jiaqi Liu, Kaiping Wei, Xianjun Shen, Yuanyuan Ma, Xingpeng Jiang, Tingting He, Xianchao Zhu, Xiaohua Hu
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 19, Iss S20, Pp 37-48 (2018)
BMC Bioinformatics, Vol 19, Iss S20, Pp 37-48 (2018)
Background The traditional methods of visualizing high-dimensional data objects in low-dimensional metric spaces are subject to the basic limitations of metric space. These limitations result in multidimensional scaling that fails to faithfully repre
Autor:
Kaiping Wei, Li Huang, Tingyu Fan, Shun Wang, Huijun Wu, Ling Zhang, Zengwei Yuan, Liangmin Gao
Publikováno v:
Journal of environmental management. 217
Nitrogen (N) and phosphorus (P) play a critical role in agricultural production and cause many environmental disturbances. By combing life cycle assessment (LCA) method with the mass balance principle of substance flow analysis (SFA), this study esta
Publikováno v:
2010 2nd International Conference on Future Computer and Communication.
As the computer technology developed nowadays, image retrieval is developing fast. Due to the semantic disparity between low-level feature and high-level feature of an image. We propose a novel algorithm called a kind of feedback image retrieval algo
Publikováno v:
2010 2nd International Conference on Advanced Computer Control.
Image retrieval is a hot technology in the field of computer technology nowdays. This paper presents a novel image retrieval algorithm which is mainly used to solve problems for image retrieval in large image database. Firstly, preprocess the sample
Autor:
Kaiping Wei, Wenya He
Publikováno v:
2009 First International Workshop on Education Technology and Computer Science.
Virtual Instruction has triggered profound changes in the field of distance education. However, “teachers” usually ignore the emotional factors of students in VI environment, which will severely harm the quality of learning. Affective Interventio
Publikováno v:
Advanced Data Mining and Applications ISBN: 9783540881919
ADMA
ADMA
Describing images in semantic terms is an important and challenging problem in content-based image retrieval. According to the strong relationship between colors and human emotions, an emotional image classification model based on color semantic term
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1aa129d831516482e044b204fe18d19
https://doi.org/10.1007/978-3-540-88192-6_47
https://doi.org/10.1007/978-3-540-88192-6_47
Publikováno v:
2008 2nd International Conference on Bioinformatics and Biomedical Engineering.
Aiming at resolving the issue of Sand and Dust Storm (SDS) location in a remote sensing image, a new method is proposed in this paper to detect the center and intensity of a SDS automatically. First, SDS coverage area is extracted from remote sensing